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DBMS > Faircom DB vs. IBM Db2 Event Store vs. Machbase Neo vs. SiteWhere

System Properties Comparison Faircom DB vs. IBM Db2 Event Store vs. Machbase Neo vs. SiteWhere

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Distributed Event Store optimized for Internet of Things use casesTimeSeries DBMS for AIoT and BigDataM2M integration platform for persisting/querying time series data
Primary database modelKey-value store
Relational DBMS
Event Store
Time Series DBMS
Time Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.faircom.com/­products/­faircom-dbwww.ibm.com/­products/­db2-event-storemachbase.comgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.ibm.com/­docs/­en/­db2-event-storemachbase.com/­dbmssitewhere1.sitewhere.io/­index.html
DeveloperFairCom CorporationIBMMachbaseSiteWhere
Initial release1979201720132010
Current releaseV12, November 20202.0V8.0, August 2023
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercial infofree developer edition availablecommercial infofree test version availableOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C and C++CJava
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux infoLinux, macOS, Windows for the developer additionLinux
macOS
Windows
Linux
OS X
Windows
Data schemeschema free, schema optional, schema required, partial schema,yesyespredefined scheme
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsyes infothrough the embedded Spark runtimeSQL-like query languageno
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
HTTP REST
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yesno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Active-active shard replicationselectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually Consistentnonono
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storagenoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infovolatile and lookup tableno
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesfine grained access rights according to SQL-standardsimple password-based access controlUsers with fine-grained authorization concept

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More resources
Faircom DB infoformerly c-treeACEIBM Db2 Event StoreMachbase Neo infoFormer name was InfinifluxSiteWhere
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